Blood glucose (BG) control is a major difficulty during liver transplantation (LT). A model-based approach to analysis and control can enhance the efficiency of BG management during LT surgery. An existing clinically validated metabolic model was fitted to data from 8 LT patients. The reperfusion part of the post-anhepatic phase of LT shows a clear consistent dynamic rise in blood glucose (BG) level that would enable better prediction of future BG in this phase. Model fitting errors showed that the fundamental model captured all primary dynamics but parameter adjustment to reflect known conditions during LT surgery in specific phases would improve model quality.